docs: def validate_offset(reference_event, estimated_event, t_collar=0.200, percentage_of_length=0.5):
          """Validate estimated event based on event offset
  
          Parameters
          ----------
          reference_event : dict
              Reference event.
  
          estimated_event : dict
              Estimated event.
  
          t_collar : float > 0, seconds
              First condition, Time collar with which the estimated offset has to be in order to be consider valid estimation.
              Default value 0.2
  
          percentage_of_length : float in [0, 1]
              Second condition, percentage of the length within which the estimated offset has to be in order to be
              consider valid estimation.
              Default value 0.5
  
          Returns
          -------
          bool
  
          """
  
          # Detect field naming style used and validate onset
          if 'event_offset' in reference_event and 'event_offset' in estimated_event:
              annotated_length = reference_event['event_offset'] - reference_event['event_onset']
  
              return math.fabs(reference_event['event_offset'] - estimated_event['event_offset']) <= max(t_collar, percentage_of_length * annotated_length)
  
          elif 'offset' in reference_event and 'offset' in estimated_event:
              annotated_length = reference_event['offset'] - reference_event['onset']
  
              return math.fabs(reference_event['offset'] - estimated_event['offset']) <= max(t_collar, percentage_of_length * annotated_length)